eHabitat: Large scale modelling of habitats types and similarities for conservation and management of protected areas.

Abstract

eHabitat, which is one of the services supporting the DOPA, the Digital Observatory for Protected Areas, proposes a habitat replaceability index (HRI) which can be used for characterizing each protected area worldwide. More precisely, eHabitat computes for each protected area a map of probabilities to find areas within the corresponding ecoregion presenting ecological characteristics that are similar to those found in the selected protected area. The HRI is then computed as the ratio between similar areas outside park and the park area itself. We here present an improved version which includes an automatic segmentation of the parks prior to HRI computation. This allows for a discrimination of different habitats types inside of protected areas. By reducing the variability within landscape patches, similarity values can be considered to be more accurate. This approach should also further improve the associated niche modelling tools.